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Learning Negative Mixture Models by Tensor Decompositions
[article]
2014
arXiv
pre-print
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(i) We show that every rational probability distributions on strings, a representation which occurs naturally in spectral learning, can be computed by a negative mixture of at most two probabilistic automata ...
Building upon a recent paper on tensor decompositions for learning latent variable models, we extend this work to the broader setting of tensors having a symmetric decomposition with positive and negative ...
Acknowledgments This work has been carried out thanks to the support of the ARCHIMEDE Labex (ANR-11-LABX-0033) and the A*MIDEX project (ANR-11-IDEX-0001-02) funded by the "Investissements d'Avenir" French ...
arXiv:1403.4224v2
fatcat:bmdoo5b5rfchzdlahtnsogxrc4
Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
[article]
2018
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The dataset and the proceedings are available from the task website. ...
The Shared Task is a first step in sentiment analysis for this domain.For the GermEval 2017 Shared Task, we received 8 submissions. One submission was withdrawn from the proceedings. ...
Acknowledgements This work has been supported by the Innovation Alliance between the Deutsche Bahn and TU Darmstadt, Germany, as well as a DAAD WISE internship grant. ...
doi:10.17185/duepublico/46421
fatcat:bt6bmmuorrhvtftnxh2sp6dgpa